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vCluster’s virtual cluster technology and Netris’s network automation enables AI operators to launch secure, multi-tenant Kubernetes environments faster — maximizing GPU utilization and scaling seamlessly across cloud, private data centers, and the edge.
SAN FRANCISCO – October 28, 2025 – vCluster Labs (formerly LoftLabs), the company pioneering Kubernetes virtualization, today announced a strategic partnership with Netris, the leading NVIDIA-validated Network Automation and Multi-Tenancy Platform trusted by leading GPU cloud operators.
As enterprises race to build and scale GPU-powered AI infrastructure, they increasingly face the challenge of running Kubernetes clusters outside of public clouds without losing agility. This partnership combines vCluster’s lightweight, isolated virtual clusters with Netris’s network automation and multi-tenancy, giving organizations the flexibility to run GPU and AI workloads anywhere, with the same speed, security, and simplicity they expect from the cloud. The two solutions address multi-tenancy at different layers: vCluster at the Kubernetes/compute layer and Netris at the network/abstraction layer, creating a complete foundation for secure, multi-tenant AI infrastructure.
Now, through a native integration between vCluster and Netris, this multi-layer isolation becomes fully automated and effortless to operate. When new virtual clusters are created, vCluster can seamlessly connect to Netris networks, ensuring each tenant’s Kubernetes environment has its own isolated data plane and network path. This enables operators to deliver cloud-grade security and automation on shared GPU infrastructure.
“Our mission has always been to make Kubernetes tenancy simple, efficient, and secure,” said Lukas Gentele, CEO and Co-Founder of vCluster. “With Netris, we extend that simplicity with built-in automation and hard multi-tenancy to the networking layer. vCluster ensures isolation at the Kubernetes and compute level, while Netris enforces it at the network and abstraction layer. Together, that’s a full-stack approach to multi-tenancy for AI operators. This is especially critical for teams building GPU-based AI factories where strict tenant isolation is a hard requirement.”
Cloud-Grade Kubernetes for AI Infrastructure
Traditionally, running Kubernetes outside the cloud has meant trade-offs. Developers lacked on-demand clusters, while operators had to manually configure load balancers, VPNs, and ACLs. Businesses faced costly sprawl and slowed delivery cycles. Issues are magnified in GPU and AI infrastructure, where utilization and performance directly impact economics.
With the vCluster’s new Netris integration, organizations can now:
- Launch GPU-ready virtual clusters on demand with networking, load balancers, ingress, ACLs, and network isolation automatically configured by Netris through the vCluster integration.
- Maximize utilization by securely running multiple tenants on shared clusters, with vCluster providing Kubernetes-level isolation and Netris providing network-level isolation.
- Scale AI workloads to the edge with lightweight clusters seamlessly meshed back to central data centers via Netris’s secure Site Mesh.
Under the hood, the integration allows vCluster environments to attach directly to dedicated Netris networks, giving each tenant its own isolated data plane and Layer 2 connectivity. This eliminates manual Day-2 network configuration and simplifies ongoing operations for shared GPU infrastructure. Future enhancements will extend this integration to automate network creation during cluster provisioning, delivering full end-to-end lifecycle automation.
The result: a developer-friendly, operations-ready Kubernetes platform that supports GPU workloads consistently across environments, from public cloud to bare-metal infrastructure to edge sites.
Enabling Cloud Agility, Anywhere AI Runs
“Netris helps AI operators run like hyperscalers with automation, abstraction, and true multi-tenancy from day one,” said Alex Saroyan, CEO and Co-Founder of Netris. “Partnering with vCluster delivers cloud-grade automation and multi-tenancy for Kubernetes, giving AI operators the foundation to run securely, onboard tenants instantly, and monetize GPUs faster.”
This partnership reflects a broader industry trend where enterprises seek the flexibility of the cloud for AI but increasingly need to run GPU workloads outside of hyperscalers due to cost, control, and performance requirements. With vCluster and Netris, they can finally achieve both.
About vCluster
vCluster Labs is virtualizing Kubernetes to enable advanced tenancy models that increase utilization, reduce costs, and make Kubernetes more dynamic. vCluster allows platform and infrastructure teams to create virtual Kubernetes clusters that are as scalable and isolated as traditional clusters but far more lightweight and flexible. Trusted by companies like CoreWeave, Nscale, Adobe, and Deloitte, vCluster powers fully isolated tenant environments across public cloud, private data centers, and GPU-powered AI infrastructure. To learn more, visit www.vcluster.com
About Netris
Netris is the leading Network Automation, Abstraction, and Multi-Tenancy (NAAM) Platform purpose-built for GPU Clouds and Enterprise AI Factories. NVIDIA-validated and trusted by the world’s most demanding AI cloud operators, Netris provides the essential foundation for transforming GPUs from idle capital expense into sustainable revenue. By automating complex multi-fabric environments across Ethernet, InfiniBand, NVLink, and DPUs, Netris helps operators maximize GPU utilization, accelerate ROI, and scale with confidence. Unlike fragile in-house scripts or legacy enterprise tools, Netris delivers proven cloud-grade automation and true network-level multi-tenancy — enabling AI infrastructure operators to safely run multiple tenants, reduce downtime risk, and launch AI clouds in weeks instead of years.
